// SIGNAL PROCESSING

AI-01

Find any operational data within milliseconds.

A single structural database to index your texts, images, videos, and audio files. Skip manual sorting: our AI instantly connects and parses all cross-modal feeds.

MULTIMODAL_WORKSPACE
Aeluin Multimodal Indexing
// IMMEDIATE_CROSS_MODAL_SEARCH

Multimodal Indexing

// PIPELINE_PHASE_01

Step 1: Universal Feed Centralization

Text documents, voice logs, camera streams, and field images are instantly parsed into lightweight mathematical vectors stored inside a single high-speed database.

Step 1: Universal Feed Centralization
// PIPELINE_PHASE_02

Step 2: Dynamic Cross-Modal Queries

Input a basic text description to fetch a precise photo target, or upload an audio voice sample to isolate its corresponding video clip. The calculation updates in under 5 milliseconds.

Step 2: Dynamic Cross-Modal Queries
// TECHNICAL ARCHITECTURE

Infrastructure Sovereignty & Flexibility

Deployable anywhere, without third-party cloud dependencies, ensuring absolute containment for your critical operational data.

[ DATA ]On-Premise

On-Premise / Datacenter

Ideal for massive multi-terabyte ingestion of archived videos and centralized communication feeds leveraging peak compute parameters.

[ EDGE ]Tactical Node

Tactical Field Deployment (Edge AI)

The model compiles natively on low-power architectures directly embedded into tactical hardware sensors, bypassing internet prerequisites.

Once your data streams are cataloged, the engine refocuses its tracking capability to detect and identify individual profiles with absolute reliability.

// MAGNIFACE_CRITICAL_EXTRACTOR

Facial Recognition

CAUSAL_LOGIC_MAP // MRL
MRL Layers Definition
// CIVIL APPLICATIONS

Crisis Management & Critical Sites

Access control security for high-risk industrial utilities, rapid search for missing persons inside transit hubs, and instantaneous cataloging of emergency media feeds.

// SECURITY & DEFENSE

Tactical Reconnaissance & OSINT

Target verification through tactical drone operations, high-speed processing of open-source intelligence assets, and accurate matching across broken adversarial videos.

// EMBEDDED PERFORMANCE

Compute Specifications

CONFIGURATIONEXTRACTION TIMEALLOCATED MEMORYACCURACY (TAR)
Edge Node (Aeluin On-Chip) < 3.8 ms 128 MB 99.64 %
Centralized Server (Standard GPU) < 1.2 ms 512 MB 99.88 %

The eye of Aeluin, deployed in mid-air.

Our tactical unmanned systems from the Ringil family utilize these identical mathematical embedding matrix frameworks to instantly parse terrain metrics and track fast-moving assets.

Drone Schematic